Efficient analysis methodology for huge application traces
| date accessioned | 2020-03-12T23:39:50Z | |
| date available | 2020-03-12T23:39:50Z | |
| date issued | 2014 | |
| identifier other | 6903791.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1119825?show=full | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Efficient analysis methodology for huge application traces | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8289911 | |
| subject keywords | Androids | |
| subject keywords | Instruments | |
| subject keywords | Internet | |
| subject keywords | Runtime | |
| subject keywords | Security | |
| subject keywords | Servers | |
| subject keywords | Smart phones | |
| subject keywords | Android | |
| subject keywords | Data Flow | |
| subject keywords | Data-Centric | |
| subject keywords | Enforcement | |
| subject keywords | Policy | |
| subject keywords | System-Wide | |
| identifier doi | 10.1109/ARES.2014.13 | |
| journal title | igh Performance Computing & Simulation (HPCS), 2014 International Conference on | |
| filesize | 1004271 | |
| citations | 0 | |
| contributor rawauthor | Dosimont, D. , Pagano, G. , Huard, G. , Huard, V.M.-M. , Vincent, J.-M. |
Files in this item
| Files | Size | Format | View |
|---|---|---|---|
|
There are no files associated with this item. |
|||